---
abstractspacing: double
fontsize: 12pt
margin: 2cm
urlcolor: darkblue
linkcolor: Mahogany
citecolor: Mahogany
spacing: single
bibliography: references.bib
biblio-style: apalike
output:
  pdf_document:
    citation_package: natbib
    fig_caption: no
    number_sections: no
    keep_tex: no
    toc: no
    toc_depth: 3
    template: article-template.latex
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, warning=FALSE, message=FALSE,cache=TRUE)
knitr::opts_chunk$set(fig.width=7, fig.height=6, out.width = '70%', fig.align = "center") 
rm(list=ls())
library(remotes)
library(kableExtra)
library(haven)
library(tidyverse)
library(ivmodel)
library(doParallel)
library(foreach)
library(estimatr)
require(AER)
library(lfe)
library(glue)
#path <- "/Users/ziwenzu/Dropbox/research/IV/IV Sensitivity/LLXZ_rep"
path <- "~/Dropbox/ProjectZ/IV Sensitivity/LLXZ_rep"
setwd(path)
knitr::opts_knit$set(root.dir = path)
#install_github("apoorvalal/ivDiag")
library(ivDiag)
# number of cores
cores <- 15
```

\newpage




## @baccini2021

| Replication Summary | |
|--------|--------------|
| Unit of analysis | county |
| Treatment | Manufacturing Layoffs |
| Instrument | Bartik instrument |
| Outcome | Change of Democratic Vote Share |
| Model | Table2(3)|


```{r apsr_baccini_2021}
df <- readRDS("./rawdata/apsr_baccini_etal_2021.rds")
D <-"msl_pc4y2"
Y <- "ddem_votes_pct1"
Z <-  "bartik_leo5"
controls <- c("LAU_unemp_rate_4y", "pers_m_total_share_4y", "pers_coll_share_4y",
              "white_counties_4y", "msl_service_pc4y")
cl <- NULL
FE <- "id_state"
weights<-NULL
(g<-ivDiag(data=df, Y=Y, D=D, Z=Z, controls=controls, FE =FE, 
  cl =cl,weights=weights, cores = cores))
```

```{r, cache = FALSE}
plot_coef(g)
```

```{r apsr_baccini_2021_sav, echo = FALSE}
save(g, file="./estimate/Baccini2021.RData")
```
